18-19 July 2018

Location: room C3.163, Science Park 904, 1098XH, Amsterdam

Day 1 11:00 – 17:00

1. Introduction and way of working

• EDISON Data Science Framework and EDISON project legacy.
• Workshop goals and attendees interests

2. Update from related projects and activities

• EOSCpilot project
• ENVRI+
• BDVA T9 Task Force
• Data Literacy (Germany)
• TBD

3. EDISON Data Science Framework (EDSF) in details and walk through customised curriculum design

• EDSF components: Competence Framework (CF-DS), Body of Knowledge (DS-BoK), Model Curriculum (MC-DS), Data Science Professional Profiles (DSPP)

4. Overview of received comments and suggestions for update and development

• Analysis of Data Science and Data Management curricula by champion universities adopting EDSF
• EntreComp and DigComp
• ESCO

5. EDSF documents: general issues and developments

• Data Science soft skills: Workplace and 21st Century skills
• Digital skills and Data literacy
• Model Curriculum structure and presentation
• Data Science foundation courses and prerequisites
• Data Management and Data Stewardship in Data Science curricula
• Data Science and Analytics (DSA) curricula profiles for Managers and for citizens

Day 2 10:00-16:00+

1. Curriculum analysis and design – Interactive session and practice (in groups)

2. Working on the EDSF documents: Interactive session and open discussion

• CF-DS
• DS-BoK
• DSPP
• MC-DS
• New documents (editors assignment)

3. Data Science Professional Certification

• Contacts with certification companies

4. Closing: comments, future steps, community building